Instructions to use Alphatao/test_5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Alphatao/test_5 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2-0.5B") model = PeftModel.from_pretrained(base_model, "Alphatao/test_5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c095050b2f8d8bd2c3983350812b622dd4fffd82e6359421248f0fabfa02ba7
- Size of remote file:
- 6.71 kB
- SHA256:
- 6407b3b61b106161738a1d1e99df16a1f37c24819112f3dec6ec97d11895cba1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.